• DocumentCode
    2401183
  • Title

    Empirical Study of Embedded Software Quality and Productivity

  • Author

    Siok, Michael F. ; Tian, Jeff

  • Author_Institution
    Lockheed Martin Aeronaut. Co., Fort Worth
  • fYear
    2007
  • fDate
    14-16 Nov. 2007
  • Firstpage
    313
  • Lastpage
    320
  • Abstract
    On a day-for-day basis, software managers struggle with the quality of the software process applied to their software engineering projects. Oftentimes the measurement and analysis needed to determine software process and product quality and to derive and set in motion strategic and tactical plans for the software organization are only partially conclusive. This paper provides a way for software organizations to study their software project data and characterize software productivity and product quality for individual projects and aggregates of software projects. Thirty-nine avionics software development projects are studied and results discussed. Armed with the results of these analyses, software managers can be more resolute in identifying specific candidate software engineering activities targeting key improvement areas - areas most likely to improve software productivity, reliability, and quality directly affecting the company software bottom line.
  • Keywords
    software management; software process improvement; software quality; software reliability; avionics software development project; embedded software quality; product quality; software company; software engineering activity; software engineering project; software organization; software process quality; software productivity; software reliability; Embedded software; Engineering management; Motion analysis; Motion measurement; Productivity; Project management; Quality management; Software engineering; Software measurement; Software quality;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    High Assurance Systems Engineering Symposium, 2007. HASE '07. 10th IEEE
  • Conference_Location
    Plano, TX
  • ISSN
    1530-2059
  • Print_ISBN
    978-0-7695-3043-7
  • Type

    conf

  • DOI
    10.1109/HASE.2007.67
  • Filename
    4404755